What drives smbs to choose open-source technologies

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Reference no: EM133494410

Case Study: Data science is being embedded into cyber security and data security. It is being used to identify the patterns of past attacks and predict the potential risks within the framework of the system. Machine learning is highly used in analyzing large data sets to find the patterns that spot an attack.Due to the high licensing cost and contracts, many small and medium-scale businesses use open-source tools and applications. This tends to put these organizations in harm's way. Due to the low volume of data or fewer users in the organization, the management will choose open-source software tools, which sometimes have fewer security protocols and high exposure to data breaches and security threats.

Research Questions:
• What drives SMBs to choose open-source technologies?
• How safe are these open-source data science technologies?
• What measures can be taken to aid SMBs in using open-source data science tools to protect their data better?

Reference no: EM133494410

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